pyparaspace: a Python wrapper for the ParaSpace timelines planner -- a simple, flexible and extensible solver for timeline-based planning problems using the Z3 Theorem Prover.
Install using Pip.
pip install pyparaspace
See the file testPyParaspace.py for example usage.
Requirements: Rust, Cargo, Clang/LLVM/LibClang, CMake.
- Create a virtual environment
python3 -m venv env
source env/bin/activate
- Install maturin
pip install maturin
- Build package
maturin develop
This section is intended for package maintainers. The pyparaspace package is
released on PyPi with Python wheel packages that make it convenient to use
paraspace without needing to set up Rust and C++ compilers and tools.
Through the z3-sys package's static link option, we get the whole planner,
including the Z3 solver, statically linked. This greatly increases the
convenience for users of the library.
Windows and Manylinux platforms are currently supported.
If building and installing the local package works, then using maturin build --release
should also correctly build a wheel package, which can be uploaded to PyPi using maturin publish.
paraspace requires an Rust version 1.60 and Clang version 3.5 (to compile the Z3 solver),
which makes it requires a bit of setup to correcly build the manylinux wheel.
There is a Dockerfile available that can be used to build a Docker image with
an up-to-date Rust version and version 7 of the LLVM/Clang toolchain.
The builds should work using the following commands.
docker build -t mybuild .
docker run --rm -v $(pwd):/io mybuild publish --skip-existing --compatibility manylinux2014 -i python3.10